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      Determinants of stunting and severe stunting among under-fives: evidence from the 2011 Nepal Demographic and Health Survey

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      BMC Pediatrics
      BioMed Central

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          Abstract

          Background

          Stunting remains a major public health concern in Nepal as it increases the risk of illness, irreversible body damage and mortality in children. Public health planners can reshape and redesign new interventions to reduce stunting and severe stunting among children aged less than 5 years in this country by examining their determinants. Hence, this study identifies factors associated with stunting and severe stunting among children aged less than five years in Nepal.

          Methods

          The sample is made up of 2380 children aged 0 to 59 months with complete anthropometric measurements from the 2011 Nepal Demographic and Health Survey (NDHS). Simple and multiple logistic regression analyses were used to examine stunting and severe stunting against a set of variables.

          Results

          The prevalences of stunting and severe stunting were 26.3% [95% confidence Interval (CI): 22.8, 30.1] and 10.2% (95%CI: 7.9, 13.1) for children aged 0–23 months, respectively, and 40.6 (95%CI: 37.3, 43.2) and 15.9% (95%CI: 13.9, 18.3) for those aged 0–59 months, respectively. After adjusting for potential confounding factors, multivariable analyses showed that the most consistent significant risk factors for stunted and severely stunted children aged 0–23 and 0–59 months were household wealth index (poorest household), perceived size of baby (small babies) and breastfeeding for more than 12 months (adjusted odds ratio (AOR) for stunted children aged 0–23 months = 2.60 [95% CI: (1.87, 4.02)]; AOR for severely stunted children aged 0–23 months = 2.87 [95% CI: (1.54, 5.34)]; AOR for stunted children aged 0–59 months = 3.54 [95% CI: (2.41, 5.19)] and AOR for severely stunted children aged 0–59 months = 4.15 [95% CI: (2.45, 6.93)].

          Conclusions

          This study suggests that poorest households and prolonged breastfeeding (more than 12 months) led to increased risk of stunting and severe stunting among Nepalese children. However, community-based education intervention are needed to reduce preventable deaths triggered by malnutrition in Nepal and should target children born to mothers of low socioeconomic status.

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          Most cited references35

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          Maternal and child undernutrition and overweight in low-income and middle-income countries

          The Lancet, 382(9890), 427-451
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            Estimating wealth effects without expenditure data--or tears: an application to educational enrollments in states of India.

            Using data from India, we estimate the relationship between household wealth and children's school enrollment. We proxy wealth by constructing a linear index from asset ownership indicators, using principal-components analysis to derive weights. In Indian data this index is robust to the assets included, and produces internally coherent results. State-level results correspond well to independent data on per capita output and poverty. To validate the method and to show that the asset index predicts enrollments as accurately as expenditures, or more so, we use data sets from Indonesia, Pakistan, and Nepal that contain information on both expenditures and assets. The results show large, variable wealth gaps in children's enrollment across Indian states. On average a "rich" child is 31 percentage points more likely to be enrolled than a "poor" child, but this gap varies from only 4.6 percentage points in Kerala to 38.2 in Uttar Pradesh and 42.6 in Bihar.
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              Undernutrition as an underlying cause of child deaths associated with diarrhea, pneumonia, malaria, and measles.

              Previous analyses derived the relative risk (RR) of dying as a result of low weight-for-age and calculated the proportion of child deaths worldwide attributable to underweight. The objectives were to examine whether the risk of dying because of underweight varies by cause of death and to estimate the fraction of deaths by cause attributable to underweight. Data were obtained from investigators of 10 cohort studies with both weight-for-age category ( -1 SD) and cause of death information. All 10 studies contributed information on weight-for-age and risk of diarrhea, pneumonia, and all-cause mortality; however, only 6 studies contributed information on deaths because of measles, and only 3 studies contributed information on deaths because of malaria or fever. With use of weighted random effects models, we related the log mortality rate by cause and anthropometric status in each study to derive cause-specific RRs of dying because of undernutrition. Prevalences of each weight-for-age category were obtained from analyses of 310 national nutrition surveys. With use of the RR and prevalence information, we then calculated the fraction of deaths by cause attributable to undernutrition. The RR of mortality because of low weight-for-age was elevated for each cause of death and for all-cause mortality. Overall, 52.5% of all deaths in young children were attributable to undernutrition, varying from 44.8% for deaths because of measles to 60.7% for deaths because of diarrhea. A significant proportion of deaths in young children worldwide is attributable to low weight-for-age, and efforts to reduce malnutrition should be a policy priority.
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                Author and article information

                Contributors
                rinatiwari@hotmail.com
                Lynne.Ausman@tufts.edu
                K.Agho@uws.edu.au
                Journal
                BMC Pediatr
                BMC Pediatr
                BMC Pediatrics
                BioMed Central (London )
                1471-2431
                27 September 2014
                27 September 2014
                2014
                : 14
                : 1
                : 239
                Affiliations
                [ ]Nutrition Promotion and Consultancy Service, Kathmandu, Nepal
                [ ]Friedman School of Nutrition Science and Policy, Tufts University, Medford, Massachusetts USA
                [ ]School of Science and Health, University of Western Sydney, Sydney, New South Wales Australia
                Article
                1207
                10.1186/1471-2431-14-239
                4263111
                25262003
                ba146fd3-e178-4e93-a368-f17d8dc7a353
                © Tiwari et al.; licensee BioMed Central Ltd. 2014

                This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 1 May 2014
                : 22 September 2014
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2014

                Pediatrics
                Pediatrics

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